Filipp A Akopyan

USPTO Granted Patents = 13 (Patent Applications = 3)

Average Co-Inventor Count = 7.8

ph-index = 5

Forward Citations = 102(Granted Patents)

Company Filing History:

13 out of 164,197

International Business Machines Corporation

where one patent can have more than one assignee

Years Active: 2014-2023

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13 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11580366 - Neuromorphic event-driven neural computing architecture in a scalable neural network (2023-02-14),

2. 11521085 - Neural network weight distribution from a grid of memory elements (2022-12-06),

3. 11270196 - Multi-mode low-precision inner-product computation circuits for massively parallel neural inference engine (2022-03-08),

4. 10990872 - Energy-efficient time-multiplexed neurosynaptic core for implementing neural networks spanning power- and area-efficiency (2021-04-27),

5. 10984307 - Peripheral device interconnections for neurosynaptic systems (2021-04-20),

6. 10838860 - Memory-mapped interface to message-passing computing systems (2020-11-17),

7. 10504021 - Neuromorphic event-driven neural computing architecture in a scalable neural network (2019-12-10),

8. 10452540 - Memory-mapped interface for message passing computing systems (2019-10-22),

9. 10410109 - Peripheral device interconnections for neurosynaptic systems (2019-09-10),

10. 9852006 - Consolidating multiple neurosynaptic core circuits into one reconfigurable memory block maintaining neuronal information for the core circuits (2017-12-26),

11. 9747545 - Self-timed, event-driven neurosynaptic core controller (2017-08-29),

12. 9269044 - Neuromorphic event-driven neural computing architecture in a scalable neural network (2016-02-23),

13. 8909576 - Neuromorphic event-driven neural computing architecture in a scalable neural network (2014-12-09),

Title: Filipp A Akopyan: Innovator in Neural Computing

Introduction

Filipp A Akopyan is a prominent inventor based in New Windsor, NY (US). He has made significant contributions to the field of neural computing, holding a total of 13 patents. His work focuses on advancing the architecture and functionality of neural networks, which are crucial for various applications in artificial intelligence.

Latest Patents

Among his latest patents is the "Neuromorphic event-driven neural computing architecture in a scalable neural network." This invention features an event-driven neural network that includes interconnected core circuits. Each core circuit is equipped with an electronic synapse array, which interconnects multiple digital electronic neurons. The design allows neurons to integrate input spikes and generate spike events based on a threshold. Another notable patent is related to "Neural network weight distribution from a grid of memory elements." This patent describes neural inference chips that compute neural activations, comprising a neural core, memory array, instruction buffer, and instruction memory. The innovative design enhances the efficiency of data processing within neural networks.

Career Highlights

Filipp has worked with renowned organizations such as IBM and Cornell University. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research in neural computing.

Collaborations

Some of his notable coworkers include John Vernon Arthur and Dharmendra S Modha. Their collaborative efforts have further advanced the research and development of neural computing technologies.

Conclusion

Filipp A Akopyan's contributions to neural computing through his innovative patents and collaborations highlight his role as a leading inventor in this rapidly evolving field. His work continues to influence advancements in artificial intelligence and neural network technologies.

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